A Bitstream Reverse Engineering Tool for FPGA Hardware Trojan Detection. - Junghwan Yoon; Yezee Seo; Jaedong Jang; Mingi Cho; JinGoog Kim; HyeonSook Kim; Taekyoung Kwon 002 (CCS, 2018)

Intriguer: Field-Level Constraint Solving for Hybrid Fuzzing. - Mingi Cho; Seoyoung Kim; Taekyoung Kwon 002 (CCS, 2019)

Poster: Evaluating Code Coverage for System Call Fuzzers. - Seoyoung Kim; Seyeon Jeong; Mingi Cho; Soochang Chung; Taekyoung Kwon 002 (CCS, 2019)

Evaluating Code Coverage for Kernel Fuzzers via Function Call Graph. - Mingi Cho; Hoyong Jin; Dohyeon An; Taekyoung Kwon 002 (IEEE Access, 2021)

Toward Fast and Scalable Firmware Fuzzing With Dual-Level Peripheral Modeling. - Eunbi Hwang; Hyunseok Lee; Seyeon Jeong; Mingi Cho; Taekyoung Kwon 002 (IEEE Access, 2021)

Low-Order Model Identification and Adaptive Observer-Based Predictive Control for Strip Temperature of Heating Section in Annealing Furnace. - Minseok Seo; Jaepil Ban; Mingi Cho; Bae Young Koo; Sang Woo Kim (IEEE Access, 2021)

Towards bidirectional LUT-level detection of hardware Trojans. - Mingi Cho; Jaedong Jang; Yezee Seo; Seyeon Jeong; Soochang Chung; Taekyoung Kwon 002 (Comput. Secur., 2021)

BoKASAN: Binary-only Kernel Address Sanitizer for Effective Kernel Fuzzing. - Mingi Cho; Dohyeon An; Hoyong Jin; Taekyoung Kwon 002 (USENIX Security Symposium, 2023)

Neural network MPC for heating section of annealing furnace. - Mingi Cho; Jaepil Ban; Minseok Seo; Sang Woo Kim (Expert Syst. Appl., 2023)

Strip-wise controller with neural network predictive model for annealing furnace under operational constraints. - Mingi Cho; Sang Woo Kim (Expert Syst. Appl., 2025)